Screening of Human Proteins for Fluoride and Aluminum Binding

Md Kamrul Hasan1, Saruar Alam1, Jovan Mirkovic2

  • 1Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.

Bioinformation
|April 6, 2018
PubMed

Insights

Prolonged exposure to fluoride and aluminum ions, linked to diseases, can disrupt protein functions. This study identified direct and indirect human protein targets for these ions, including those involved in neurodegenerative disorders.

Area of Science:

  • Biochemistry
  • Toxicology
  • Computational Biology

Background:

  • Prolonged exposure to fluoride (F-) and aluminum (Al3+) ions is linked to various diseases, notably neurological disorders.
  • These ions lack known biological functions but can interfere with normal protein activities and downstream interactions.
  • The specific human protein targets for F- and Al3+ have not been previously identified.

Purpose of the Study:

  • To identify human protein targets that directly and indirectly interact with fluoride and aluminum ions.
  • To explore the potential impact of these ion-protein interactions on biological functions, particularly in neurodegeneration.

Main Methods:

  • Utilized data-driven prediction tools to screen for human protein targets interacting with F- and Al3+.
  • Analyzed direct binding interactions and indirect protein-protein interactions.
  • Investigated common protein targets between F- and Al3+.

Main Results:

  • Identified 20 direct protein targets (10 for F-, 10 for Al3+).
  • Discovered 86 indirect targets for F- and 90 for Al3+ through protein-protein interaction analysis.
  • Found 19 common protein targets, with 9 implicated in neurodegenerative disorders.

Conclusions:

  • This study provides a comprehensive list of potential human protein targets for fluoride and aluminum ions.
  • The findings highlight potential molecular mechanisms underlying F- and Al3+-induced diseases, including neurodegeneration.
  • Further experimental validation is required to confirm these predicted binding networks and their functional consequences.

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